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An Ice-Free Arctic? Opportunities for Computational Science
May/June 2007 (vol. 9 no. 3)
pp. 65-74
L. Bruno Tremblay, McGill University
Marika M. Holland, US National Center for Atmospheric Research
Irina V. Gorodetskaya, Columbia University
Gavin A. Schmidt, NASA Goddard Institute
The authors discuss modeling's role in understanding the ice-ocean system, as well as its importance in predicting the future state of Arctic sea-ice. In doing so, this article presents results from a hierarchy of models of different complexity, their strengths and weaknesses, and how they could help forecast the future state of the ice-ocean system.
Index Terms:
Arctic, global warming, climate change, sea ice, modeling
Citation:
L. Bruno Tremblay, Marika M. Holland, Irina V. Gorodetskaya, Gavin A. Schmidt, "An Ice-Free Arctic? Opportunities for Computational Science," Computing in Science and Engineering, vol. 9, no. 3, pp. 65-74, May-June 2007, doi:10.1109/MCSE.2007.45
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